Papers

• ReaRAG: Knowledge-guided Reasoning Enhances Factuality of Large Reasoning Models with Iterative Retrieval Augmented Generation (2025)
  Zhicheng Lee et al.
  1.28
• MME-Reasoning: A Comprehensive Benchmark for Logical Reasoning in MLLMs (2025)
  Jiakang Yuan et al.
  1.28
• Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning (2025)
  Jikai Jin et al.
  1.28
• Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models (2025)
  Tianfan Peng et al.
  1.28
• Inserting Anybody in Diffusion Models via Celeb Basis (2023)
  Ge Yuan et al.
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• WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation (2023)
  Zhaojian Yu et al.
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• MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding (2024)
  Xinyu Fang et al.
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• SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation (2024)
  Teng Hu et al.
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• DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models (2024)
  Chengke Zou et al.
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• Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel (2024)
  Zun Wang et al.
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